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All Journal Pro Bisnis Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Indonesian Journal on Software Engineering (IJSE) CogITo Smart Journal MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Surya Abdimas Infotekmesin Visual Heritage: Jurnal Kreasi Seni dan Budaya Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Teknologi Informasi dan Komunikasi Journal of Electrical Engineering and Computer (JEECOM) Nusantara Hasana Journal Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Mitra Masyarakat (JPMM) Jurnal Rekayasa Informasi Jurnal Riset Sistem Informasi
Ika Romadoni Yunita
Universitas Amikom Purwokerto
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mechanical Engineering Medicine & Pharmacology Nursing Social Sciences Other

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Implementasi Algoritma Logistic Regression pada Pembuatan Website Sederhana untuk Prediksi Penyakit Jantung Chyntia Raras Ajeng Widiawati; Lisa Nurazizah; Ika Romadoni Yunita
Infotekmesin Vol 15 No 1 (2024): Infotekmesin: Januari, 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i1.2048

Abstract

Heart disease is a deadly disease, early recognition is important to prevent the fairly high death rate due to this disease. There are various ways to detect heart disease early, one of which is by utilizing machine learning. In this research, the author uses secondary data, namely data taken from the website www.kaggle.com for the prediction process. The amount of data used was 297 data, with details of 160 data not detecting heart disease, and 137 data detecting heart disease. Apart from making predictions from heart disease patient data using the logistic regression algorithm, this research also implements the model that has been created on the website. The results of implementing the logistic regression algorithm in this research are an accuracy value of 0.9, precision of 0.92, recall of 0.86, and f1-score of 0.89. After measuring using these 4 parameters, the model that has been created is then implemented into a simple website using the Rapid Application Development (RAD) method.
PERANCANGAN WEBSITE PENJUALAN MENGGUNAKAN METODE PROTOTYPE PADA TOKO AGEN BERAS Shafirina Arsydini Shidqi; Gustin Setyaningsih; Ika Romadoni Yunita; Muhamad Awiet Wiedanto Prasetyo
Jurnal Riset Sistem Informasi Vol. 2 No. 3 (2025): Juli : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/dz223472

Abstract

Doa Ibu Rice Agent Shop is a business that focuses on food processing production, especially rice production. However, the sales system at rice agent shops still uses traditional methods. To overcome this problem, it is necessary to design website-based e-commerce that has effective user interaction with the use of e-commerce features that are easy to use and understood by users.  The data collection methods used in this research are interviews, observation, documentation, literature study and questionnaires. Meanwhile, the system development method created is using a prototype. The results of this research are in the form of a website-based e-commerce website at the Ibu Tambaksari Kidul Doa Rice Agent Store. Based on the results of a questionnaire to 10 respondents, the percentage of 78.4% was in the "agree" interval scale, so it can be concluded that the website created was in accordance with what was expected.
Evaluasi Website Kuliah Online STMIK Amikom Purwokerto Menggunakan Metode Heuristik (Studi Kasus Mata Kuliah Enterprise Resource Management) Debby Ummul Hidayah; Ika Romadoni Yunita; Gustin Setyaningsih
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 18 No. 2 (2019)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v18i2.360

Abstract

Online lecture is one alternative to support distance learning. STMIK Amikom Purwokerto has implemented the online lecture system. In order to support effective learning while studying online using website media, an effective web interface is needed. However, there were complaints from users when accessing web lectures online. One of them is the user does not understand the overall use of functions on the existing system. Therefore heuristic evaluation is needed to find out how useful the system is in supporting online lectures. The results show that based on the calculation results using heuristic evaluation, the severety rating with a scale of 3 means that the online learning website at STMIK Amikom Purwokerto needs to be throughly improved from both system functionality and interface design.
Aplikasi “Si Tubo” untuk Mendeteksi Dini Gejala Tuberkulosis pada Anak dengan Metode Backward Chaining Ika Romadoni Yunita; Fiby Nur Afiana
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 20 No. 1 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v20i1.679

Abstract

Anak-anak adalah kelompok usia dengan risiko yang tinggi tertular Tuberkulosis karena kekebalan tubuh yang belum berkembang secara sempurna. Tuberkulosis aktif pada anak dapat dicegah atau diketahui sejak dini apabila orang tua mengetahui ciri-ciri dan media penularan Tuberkulosis. Sayangnya informasi tersebut belum menyentuh seluruh aspek masyarakat, kurangnya dokter dan stakeholder yang terlibat untuk mensosialisasikan, mahalnya bisaya konsultasi dan berobat menjadi faktor pendukung. Dengan bantuan teknologi, peneliti berusaha memberikan informasi yang akurat mengenai Tuberkulosis. Penelitian ini merancang dan membangun aplikasi mobile bernama “Si Tubo”, dengan metode inferensi Backward Chaining yang dapat membantu para orang tua dan stakeholder yang terlibat untuk mendeteksi dini gejala-gejala penyakit Tuberkulosis pada anak dan mencegah penularan. Basis pengetahuan berdasar pada Peraturan Menteri Kesehatan Republik Indonesia Nomor 67 Tahun 2016 Tentang Penanggulangan Tuberkulosis, beberapa literature dan konsultasi dengan Dokter Anak setempat sebagai si pakar. Namun aplikasi ini hanya mendeteksi dini bukan mendiagnosis bahwa anak terkena Tuberkulosis. Melalui Aplikasi Si Tubo orang tua bisa melakukan langkah pencegahan atau pemeriksaan lebih lanjut ke rumah sakit terkait bila ternyata anak diduga Tuberkulosis aktif.
Co-Authors Agus Pramono Argiyan Dwi Pritama Aulia Shafira Tri Damayanti Aulia Shafira Tri Damayanti Bahy Nisrina Nur Fadhilah Bangkit, Jeffri Prayitno Bunga Asriandhini Chyntia Raras Ajeng Widiawati Dias Ayu Budi Utami Fiby Nur Afiana Fiby Nur Afiana Fiby Nur Afiana Fiby Nur Nur Afiana Gustin Setyaningsih Hanun Karomatunnisa Hidayah, Debby Ummul Ito Setiawan Latifah Adi Triana Lisa Nurazizah Luthfi Akhaerunnisa Luthfi Khaerunnisa Luzi Dwi Oktaviana Luzi Dwi Oktaviana Masyruri Riska Maulana Muhamad Awiet Wiedanto Prasetyo Nailis Syafi’ah Nailis Syafi’ah Nauralia Syifa Ayunda Primadani Arsi Puji Ratwiyanti Putri Mareta Puspitasari Ranggi Prahaingtyas Aji Ranggi Praharaningtyas Aji Retno Waluyo Retno Waluyo Retno Waluyo Riyanto Riyanto Septi Fajarwati Shafirina Arsydini Shidqi Suliswaningsih Tarwoto Tarwoto Toni Anwar Triana Yulistia Trias Bratakusuma Uswatun Hasanah Wiga Maulana Baihaqi Zanuar Rifai Zanuar Rifai Zanuar Rifai